Papers
Sat 13 Jul 2024
109 papers
- An Autonomous GIS Agent Framework for Geospatial Data RetrievalLLM agents and tool use → Multimodal and embodied agents
- AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligenceLLM agents and tool use → Medical and scientific domain agents
- Document-level Clinical Entity and Relation Extraction via Knowledge Base-Guided GenerationRetrieval-augmented generation → Medical and biomedical RAG
- A Training Data Recipe to Accelerate A* Search with Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Hydra: Bidirectional State Space Models Through Generalized Matrix MixersState-space sequence models (S4, Mamba) → Core SSM architectures for language
- DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationDiffusion models → Medical imaging and segmentation
- Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated DialoguesLLM agents and tool use → General LLM agent frameworks and benchmarks
- PSC: Posterior Sampling-Based CompressionDiffusion models → Diffusion for compression and wireless
- Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization ModelingLLM reasoning → Test-time compute and efficient thinking
- VLMPC: Vision-Language Model Predictive Control for Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- 3D Weakly Supervised Semantic Segmentation with 2D Vision-Language GuidanceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data AnalysisLLM agents and tool use → Medical and scientific domain agents
- Dense Multimodal Alignment for Open-Vocabulary 3D Scene UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Prototype Clustered Diffusion Models for Versatile Inverse ProblemsDiffusion models → Inverse problems and image restoration
- Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and SynthesisState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Partial-differential-algebraic equations of nonlinear dynamics by Physics-Informed Neural-Network: (I) Operator splitting and framework assessment
- Bilingual Adaptation of Monolingual Foundation Models
- Beyond KV Caching: Shared Attention for Efficient LLMs
- A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation
- Empowering Graph Invariance Learning with Deep Spurious Infomax
- Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning
- Generating In-store Customer Journeys from Scratch with GPT Architectures
- Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
- Deep deterministic policy gradient with symmetric data augmentation for lateral attitude tracking control of a fixed-wing aircraft
- Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability
- ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method
- SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
- Causality extraction from medical text using Large Language Models (LLMs)
- Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks
- Identification of Average Causal Effects in Confounded Additive Noise Models
- Sim-to-Real Domain Adaptation for Deformation Classification
- Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
- A Dynamic Algorithm for Weighted Submodular Cover Problem
- Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
- Pay Less On Clinical Images: Asymmetric Multi-Modal Fusion Method For Efficient Multi-Label Skin Lesion Classification
- Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine
- Curriculum Is More Influential Than Haptic Information During Reinforcement Learning of Object Manipulation Against Gravity
- PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models
- MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models
- Optimizing ROI Benefits Vehicle ReID in ITS
- Learning Online Scale Transformation for Talking Head Video Generation
- TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression
- Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
- LFFR: Logistic Function For (single-output) Regression
- PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition
- Low-Rank Interconnected Adaptation across Layers
- Minimizing PLM-Based Few-Shot Intent Detectors
- WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task
- LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolation
- Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
- Metric Learning for Clifford Group Equivariant Neural Networks
- Region-aware Image-based Human Action Retrieval with Transformers
- MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection
- Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors
- Emotion Detection through Body Gesture and Face
- SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches
- Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
- Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation
- Transferring Structure Knowledge: A New Task to Fake news Detection Towards Cold-Start Propagation
- NamedCurves: Learned Image Enhancement via Color Naming
- FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented Environments
- Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generation
- sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting
- Model-free Distortion Canceling and Control of Quantum Devices
- SeFi-CD: A Semantic First Change Detection Paradigm That Can Detect Any Change You Want
- Resource Management for Low-latency Cooperative Fine-tuning of Foundation Models at the Network Edge
- ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency
- A Systematic Survey of Natural Language Processing for the Greek Language
- IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception
- Building pre-train LLM Dataset for the INDIC Languages: a case study on Hindi
- Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation
- Free-form Grid Structure Form Finding based on Machine Learning and Multi-objective Optimisation
- Text-Based Detection of On-Hold Scripts in Contact Center Calls
- Towards Understanding Epoch-wise Double descent in Two-layer Linear Neural Networks
- Eliminating Feature Ambiguity for Few-Shot Segmentation
- Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
- Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis
- LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment
- Size and Smoothness Aware Adaptive Focal Loss for Small Tumor Segmentation
- NativQA: Multilingual Culturally-Aligned Natural Query for LLMs
- VividDreamer: Invariant Score Distillation For Hyper-Realistic Text-to-3D Generation
- AraFinNLP 2024: The First Arabic Financial NLP Shared Task
- Empowering Whisper as a Joint Multi-Talker and Target-Talker Speech Recognition System
- Preserving the Privacy of Reward Functions in MDPs through Deception
- Asynchronous Feedback Network for Perceptual Point Cloud Quality Assessment
- IoT-LM: Large Multisensory Language Models for the Internet of Things
- ScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video
- Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs
- Convex space learning for tabular synthetic data generation
- Training with Explanations Alone: A New Paradigm to Prevent Shortcut Learning
- Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
- Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
- Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation
- Graph Transformers: A Survey
- Learning Weighted Finite Automata over the Max-Plus Semiring and its Termination
- ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context
- ICCV23 Visual-Dialog Emotion Explanation Challenge: SEU_309 Team Technical Report
- LLM-Collaboration on Automatic Science Journalism for the General Audience
All 109
- Biased Backpressure Routing Using Link Features and Graph Neural Networks
- TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
- SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media
- Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
- Sparse Asymptotic PCA: Identifying Sparse Latent Factors Across Time Horizon in High-Dimensional Time Series
- Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
- Textured-GS: Gaussian Splatting with Spatially Defined Color and Opacity
- Neural Operator-Based Proxy for Reservoir Simulations Considering Varying Well Settings, Locations, and Permeability Fields
- On Mitigating Code LLM Hallucinations with API Documentation